Open Access. Powered by Scholars. Published by Universities.®

Geographic Information Sciences Commons™

Open Access. Powered by Scholars. Published by Universities.®

University of Arkansas, Fayetteville

Discipline
Keyword
Publication Year
Publication
Publication Type

Articles 1 - 30 of 83

Full-Text Articles in Geographic Information Sciences

Creating A Gis-Based Site Suitability Index For A Major Sports Stadium In Kansas City, Theodore E. Blair May 2026

Creating A Gis-Based Site Suitability Index For A Major Sports Stadium In Kansas City, Theodore E. Blair

Political Science Undergraduate Honors Theses

There are many considerations taken when siting major sports stadiums. Most literature, though, has focused on the political and economic considerations, the negative outcomes of using public money for private projects. However, geographic considerations play a major part in deciding where to site a stadium. These considerations are wide-ranging and can change with the times. This thesis determines ten modern site suitability criteria, and with them, creates a site suitability index using GIS to determine and quantify more and less suitable areas for stadium development. It applies this index to the Kansas City area, as the city is currently in …

Go to article

Paths Of Least Resistance: A Geospatial Analysis Of The Integration Of Mississippian Communities In The Northwest Arkansas Ozarks, Joseph Jilek Aug 2024

Paths Of Least Resistance: A Geospatial Analysis Of The Integration Of Mississippian Communities In The Northwest Arkansas Ozarks, Joseph Jilek

Anthropology Undergraduate Honors Theses

During the Mississippi period (ca. AD 1050-1500), native groups occupying bluff shelters in the Northwest Arkansas Ozarks constructed three similarly sized mound-and-plaza centers: Goforth-Saindon (3BE0245), Collins (3WA0001), and Huntsville (3MA0022). Similarities in size and number of mounds suggests none rose to a position of power over the other and each integrated a separate community. Previous research hypothesizes that communities in emergent complex societies such as these are best defined by those who you interact with regularly, with mound centers less than a day’s travel from each other likely integrating the same communities. This study uses least-cost analysis, generating likely travel …

Go to article

Spatial Targeting Of Irrigation Development And Water Resource Management To Mitigate Vector-Borne Disease, April Frake, Brad Peter, Grivin Chipula, Joseph Messina Jun 2024

Spatial Targeting Of Irrigation Development And Water Resource Management To Mitigate Vector-Borne Disease, April Frake, Brad Peter, Grivin Chipula, Joseph Messina

Geosciences Faculty Publications and Presentations

Scaling irrigated agriculture is a global strategy to mitigate food insecurity concerns. While expanding irrigated agriculture is critical to meeting food production demands, it is important to consider how these land use and land cover changes (LULCC) may alter the water resources of landscapes and impact the spatiotemporal epidemiology of disease. Here, a generalizable method is presented to inform irrigation development decision-making aimed at increasing crop production through irrigation while simultaneously mitigating malaria risk to surrounding communities. Changes to the spatiotemporal patterns of malaria vector (Anopheles gambiae s.s.) suitability, driven by irrigated agricultural expansion, are presented for Malawi's rainy and …

Go to article

Thematic Mapping Of Apidae Holdings Within The University Of Arkansas Arthropod Museum, Baylie Lenora Day May 2024

Thematic Mapping Of Apidae Holdings Within The University Of Arkansas Arthropod Museum, Baylie Lenora Day

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

Museum biological collections store species data that can be utilized in research on biodiversity, environmental change, invasive species, public health, and disease. The University of Arkansas Arthropod Museum, which began in 1905, houses over 750,000 specimens and has not yet been digitized. Making data publicly accessible via the internet makes the data available to the entire scientific community. The goal of this project was to create a digital resource to allow greater access to the University of Arkansas Arthropod Museum holdings. To do so, data from Bombus (bumble bee) and Xylocopa (carpenter bee) specimens were databased in Excel and displayed …

Go to article

Fire Potential In Arkansas Through The Lens Of The Keetch-Byram Drought Index, Charles Steward May 2024

Fire Potential In Arkansas Through The Lens Of The Keetch-Byram Drought Index, Charles Steward

Graduate Theses and Dissertations

Vegetation fires are a complicated phenomenon to predict both the occurrence and intensity. In the United States, fire behavior has been widely studied in high-risk regions such as in the American West, but fires also occur regularly in states that receive greater levels of precipitation, such as Arkansas. Fires are an expensive and dangerous environmental problem. As climate trends caused by global warming continue to progress, quantifying the extent to which climate factors influence their occurrence in Arkansas would be useful for land management, public safety, public health, agriculture, urban development, and to advance the science of fire-climate dynamics in …

Go to article

Thematic Mapping Of Apidae Holdings Within The University Of Arkansas Arthropod Museum, Baylie L. Day, Ashley P.G. Dowling, Austin Jones Jan 2024

Thematic Mapping Of Apidae Holdings Within The University Of Arkansas Arthropod Museum, Baylie L. Day, Ashley P.G. Dowling, Austin Jones

Discovery, The Student Journal of Dale Bumpers College of Agricultural, Food and Life Sciences

Museum biological collections store species data that can be utilized in research on biodiversity, environmental change, invasive species, public health, and disease. The University of Arkansas Arthropod Museum, which began in 1905, houses over 750,000 specimens and has not yet been digitized. Making data publicly accessible via the internet makes the data available to the entire scientific community. The goal of this project was to create a digital resource to allow greater access to the University of Arkansas Arthropod Museum holdings. To do so, data from Bombus (bumble bee) and Xylocopa (carpenter bee) specimens were entered into a database in …

Go to article

Age, Size, And Composition Of Selected Old-Growth Shortleaf Pine Stands In The Upper Buffalo River, Arkansas, Willa Avery Thomason Dec 2023

Age, Size, And Composition Of Selected Old-Growth Shortleaf Pine Stands In The Upper Buffalo River, Arkansas, Willa Avery Thomason

Graduate Theses and Dissertations

Shortleaf pine (Pinus echinata) approaches the westernmost limits of its range in the Arkansas Ozarks. Despite heavy logging of shortleaf pine throughout its range during the 19th and 20th centuries, the species was not easily accessible for harvest and transportation in the most rugged areas of the Boston Mountains and, as a result, there are a few extant stands of old-growth shortleaf pine in the region. The shortleaf pine stands in the interior Boston Mountains are unusual in that they exist primarily above bluff lines at topographic breaks in the hardwood canopy and are not disturbed by fire as frequently …

Go to article

Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt Dec 2023

Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt

Graduate Theses and Dissertations

This thesis uses a geospatially-enhanced, machine learning approach to investigate variations in rental success on the peer-to-peer property sharing website Airbnb.com. Geographic factors, listing attributes and amenities, customer response metrics, and host attributes are included in decision tree modeling to predict the short-term probability of receiving a review. The most important variables in increasing model accuracy are assessed and variations in the importance of these variables investigated using Shapley values.

Go to article

Development Of A Historic Digital Elevation Model (Hdem) From Archival Aerial Imagery Over The Black Mountain Alluvial Fan, Canada, Emma Menio Dec 2023

Development Of A Historic Digital Elevation Model (Hdem) From Archival Aerial Imagery Over The Black Mountain Alluvial Fan, Canada, Emma Menio

Graduate Theses and Dissertations

In a rapidly changing Arctic, reconstructing landscapes pre-warming is essential to understanding impacts due to climate-inducted geomorphic change. High-latitude elevation datasets extend temporally back to the 2000s, while region-wide warming became measurable in the 1980s. Historic aerial imagery archives provide datasets of high-resolution imagery from the mid- to late- 1900s with stereo-capability that can be harnessed to create historic digital elevation models, or hDEMs. A major issue with reconstructing a surface from the past is finding a way to constrain it in space, given a lack of ground control from that era, especially at high latitudes. The main purpose of …

Go to article

Quantifying The Effect Of Socio-Economic Predictors And The Built Environment On Mental Health Events In Little Rock, Ar, Alfieri Ek, Grant Drawve, Samantha Robinson, Jyotishka Datta May 2023

Quantifying The Effect Of Socio-Economic Predictors And The Built Environment On Mental Health Events In Little Rock, Ar, Alfieri Ek, Grant Drawve, Samantha Robinson, Jyotishka Datta

Sociology and Criminology Faculty Publications and Presentations

Law enforcement agencies continue to grow in the use of spatial analysis to assist in identifying patterns of outcomes. Despite the critical nature of proper resource allocation for mental health incidents, there has been little progress in statistical modeling of the geo-spatial nature of mental health events in Little Rock, Arkansas. In this article, we provide insights into the spatial nature of mental health data from Little Rock, Arkansas between 2015 and 2018, under a supervised spatial modeling framework. We provide evidence of spatial clustering and identify the important features influencing such heterogeneity via a spatially informed hierarchy of generalized …

Go to article

The Terroir Of Swiss Cheese: A Temporal And Geomorphological Investigation Of The Martian Co2 Sublimation Pits, Racine D. Cleveland May 2023

The Terroir Of Swiss Cheese: A Temporal And Geomorphological Investigation Of The Martian Co2 Sublimation Pits, Racine D. Cleveland

Graduate Theses and Dissertations

Observations by NASA Mars Global Surveyor showed evidence of rough topography on the South Pole of Mars. The topography is the result of CO2 sublimation processes that occur through the changing seasons on the red planet. These sublimation areas are known to scientists as Swiss Cheese Features (SCF). SCF are erosional degradation pits that have been studied for over two decades. Studies show that these SCF increase in area over time, but these values are collected by hand on a per feature basis. Models for the pit evolution have also played a part in understanding these SCF. This work is …

Go to article

Geographic Object-Based Image Analysis For Archaeological Site Detection: A Case Study For The Chicama Valley, Peru, Cesca Craig May 2023

Geographic Object-Based Image Analysis For Archaeological Site Detection: A Case Study For The Chicama Valley, Peru, Cesca Craig

Anthropology Undergraduate Honors Theses

This study represents a first attempt at applying geographic object-based image analysis (GEOBIA) for the detection of extant archaeological sites in the Chicama River Valley located in northern coastal Peru. This region is characterized by the presence of mound-like archaeological sites dispersed throughout large-scale agricultural fields. High-resolution multispectral imagery from Planet Labs was used in this study because of its high spatial and temporal resolution and availability at no cost through Planet’s Education and Research Program. The main goal for this study was to explore GEOBIA as an approach to archaeological site detection and assess the feasibility of developing exportable …

Go to article

Reproducibility And Replicability In Unmanned Aircraft Systems And Geographic Information Science, Cassandra Howe May 2023

Reproducibility And Replicability In Unmanned Aircraft Systems And Geographic Information Science, Cassandra Howe

Graduate Theses and Dissertations

Multiple scientific disciplines face a so-called crisis of reproducibility and replicability (R&R) in which the validity of methodologies is questioned due to an inability to confirm experimental results. Trust in information technology (IT)-intensive workflows within geographic information science (GIScience), remote sensing, and photogrammetry depends on solutions to R&R challenges affecting multiple computationally driven disciplines. To date, there have only been very limited efforts to overcome R&R-related issues in remote sensing workflows in general, let alone those tied to disruptive technologies such as unmanned aircraft systems (UAS) and machine learning (ML). To accelerate an understanding of this crisis, a review was …

Go to article

Flood Hazard And Risk Analyses In The Republic Of Panama: A Case Study From The Juan Diaz River Watershed In Panama City, Virgilio De Jesus Quintero Dec 2022

Flood Hazard And Risk Analyses In The Republic Of Panama: A Case Study From The Juan Diaz River Watershed In Panama City, Virgilio De Jesus Quintero

Graduate Theses and Dissertations

Flooding is the natural hazard with most occurrences in Panama. Its frequency and magnitude have increased over the years. This dissertation analyzes Panama’s flood activity in order to better understand flood hazards, the current evolution of Panamanian perceptions of flood risk, and the incorporation of indigenous knowledge used to mitigate flood hazards. The first chapter developed a baseline of past and current flood inventory in Panama, which required the use of flood historical data, thematic cartography, and Geographic Information Science (GIS). This chapter shows Panama has experienced floods in varying degrees. Through the spatial and temporal distribution of floods from …

Go to article

Precision Weed Management Based On Uas Image Streams, Machine Learning, And Pwm Sprayers, Jason Allen Davis Dec 2022

Precision Weed Management Based On Uas Image Streams, Machine Learning, And Pwm Sprayers, Jason Allen Davis

Graduate Theses and Dissertations

Weed populations in agricultural production fields are often scattered and unevenly distributed; however, herbicides are broadcast across fields evenly. Although effective, in the case of post-emergent herbicides, exceedingly more pesticides are used than necessary. A novel weed detection and control workflow was evaluated targeting Palmer amaranth in soybean (Glycine max) fields. High spatial resolution (0.4 cm) unmanned aircraft system (UAS) image streams were collected, annotated, and used to train 16 object detection convolutional neural networks (CNNs; RetinaNet, Faster R-CNN, Single Shot Detector, and YOLO v3) each trained on imagery with 0.4, 0.6, 0.8, and 1.2 cm spatial resolutions. Models were …

Go to article

Orbital Mapping Of Seasonal And Yearly Changes In Co2 And Water Ice On The Southern Polar Cap Of Mars, Victoria Michell Ann Karnes Dec 2022

Orbital Mapping Of Seasonal And Yearly Changes In Co2 And Water Ice On The Southern Polar Cap Of Mars, Victoria Michell Ann Karnes

Graduate Theses and Dissertations

This research exhibits a new foundation for the rates of change in CO2 and water ice on the southern polar cap of Mars, where the annual precipitation cycles are known to fluctuate seasonally between the north and south pole, based on observations from the Compact Reconnaissance Imaging Spectrometer (CRISM). The conventional belief is that both CO2 ice and water ice on the southern polar cap condenses and evaporates over the course of a Martian year (MY), condensing during the Martian spring and summer and evaporating during the Martian fall and winter. With this theory in mind, CO2 and water ice …

Go to article

Context For Reproducibility And Replicability In Geospatial Unmanned Aircraft Systems, Cassandra Howe, Jason A. Tullis Sep 2022

Context For Reproducibility And Replicability In Geospatial Unmanned Aircraft Systems, Cassandra Howe, Jason A. Tullis

Geosciences Faculty Publications and Presentations

Multiple scientific disciplines face a so-called crisis of reproducibility and replicability (R&R) in which the validity of methodologies is questioned due to an inability to confirm experimental results. Trust in information technology (IT)-intensive workflows within geographic information science (GIScience), remote sensing, and photogrammetry depends on solutions to R&R challenges affecting multiple computationally driven disciplines. To date, there have only been very limited efforts to overcome R&R-related issues in remote sensing workflows in general, let alone those tied to unmanned aircraft systems (UAS) as a disruptive technology. This review identifies key barriers to, and suggests best practices for, R&R in geospatial …

Go to article

Social Media Mining Under The Covid-19 Context: Progress, Challenges, And Opportunities, Xiao Huang, Siqin Wang, Mengxi Zhang, Tao Hu, Alexander Hohl, Bing She, Jianxin Li, Xiao Liu, Oliver Gruebner, Regina Liu, Xiao Li, Zhewei Liu, Xinyue Ye, Zhenlong Li Sep 2022

Social Media Mining Under The Covid-19 Context: Progress, Challenges, And Opportunities, Xiao Huang, Siqin Wang, Mengxi Zhang, Tao Hu, Alexander Hohl, Bing She, Jianxin Li, Xiao Liu, Oliver Gruebner, Regina Liu, Xiao Li, Zhewei Liu, Xinyue Ye, Zhenlong Li

Geosciences Faculty Publications and Presentations

Social media platforms allow users worldwide to create and share information, forging vast sensing networks that allow information on certain topics to be collected, stored, mined, and analyzed in a rapid manner. During the COVID-19 pandemic, extensive social media mining efforts have been undertaken to tackle COVID-19 challenges from various perspectives. This review summarizes the progress of social media data mining studies in the COVID-19 contexts and categorizes them into six major domains, including early warning and detection, human mobility monitoring, communication and information conveying, public attitudes and emotions, infodemic and misinformation, and hatred and violence. We further document essential …

Go to article

Changes Of Winter Severity In Arkansas During 1901-2100, Christian Garcia Aug 2022

Changes Of Winter Severity In Arkansas During 1901-2100, Christian Garcia

Graduate Theses and Dissertations

The objective of this study was to quantify the winter severity in a way that was reproduceable and easy to understand. The Accumulated Winter Severity Seasonal Index (AWSSI) was chosen for this reason and was used to quantify winter severity by season across the state of Arkansas. The variables that go into the AWSSI calculation are maximum daily temperature, minimum daily temperature, daily snowfall, and daily snow depth. When the snowfall and snow depth were missing, they can be estimated using daily temperature and precipitation. Then the estimated snowfall and snow depth can be subsequently used to quantify the winter …

Go to article

Toward Global Localization Of Unmanned Aircraft Systems Using Overhead Image Registration With Deep Learning Convolutional Neural Networks, Rachel Linck May 2022

Toward Global Localization Of Unmanned Aircraft Systems Using Overhead Image Registration With Deep Learning Convolutional Neural Networks, Rachel Linck

Graduate Theses and Dissertations

Global localization, in which an unmanned aircraft system (UAS) estimates its unknown current location without access to its take-off location or other locational data from its flight path, is a challenging problem. This research brings together aspects from the remote sensing, geoinformatics, and machine learning disciplines by framing the global localization problem as a geospatial image registration problem in which overhead aerial and satellite imagery serve as a proxy for UAS imagery. A literature review is conducted covering the use of deep learning convolutional neural networks (DLCNN) with global localization and other related geospatial imagery applications. Differences between geospatial imagery …

Go to article

Analysis Of Gentrification And Green Spaces In East Austin, Texas, Carly Fordyce May 2022

Analysis Of Gentrification And Green Spaces In East Austin, Texas, Carly Fordyce

Graduate Theses and Dissertations

Gentrification, the urban process that results from uneven development within cities, can cause unjust displacement of traditional, low-income residents in residential neighborhoods, and inequitable access to community services and benefits. Because of the negative social impacts that gentrification can have, many local governments and agencies have been known to attempt to mitigate changes by initiating different types of planning policies. Such policies usually apply changes in housing or zoning rules to enable lower-income residents to have access to housing and community amenities in the area. Another aspect resulting from gentrification that local government will try to rectify is low access …

Go to article

Direct Aerial Visual Geolocalization Using Deep Neural Networks, Winthrop Harvey, Chase Rainwater, Jackson Cothren Oct 2021

Direct Aerial Visual Geolocalization Using Deep Neural Networks, Winthrop Harvey, Chase Rainwater, Jackson Cothren

Industrial Engineering Faculty Publications and Presentations

Unmanned aerial vehicles (UAVs) must keep track of their location in order to maintain flight plans. Currently, this task is almost entirely performed by a combination of Inertial Measurement Units (IMUs) and reference to GNSS (Global Navigation Satellite System). Navigation by GNSS, however, is not always reliable, due to various causes both natural (reflection and blockage from objects, technical fault, inclement weather) and artificial (GPS spoofing and denial). In such GPS-denied situations, it is desirable to have additional methods for aerial geolocalization. One such method is visual geolocalization, where aircraft use their ground facing cameras to localize and navigate. The …

Go to article

Of Biodiversity, Boundaries, And Distribution: The Myxomycetes Of The Philippines And Beyond, Sittie Aisha Bustamante Macabago Jul 2021

Of Biodiversity, Boundaries, And Distribution: The Myxomycetes Of The Philippines And Beyond, Sittie Aisha Bustamante Macabago

Graduate Theses and Dissertations

This dissertation contains a compilation of independently performed studies primarily focusing on the myxomycetes (plasmodial slime molds) from the Philippines and integrating local and worldwide data to demonstrate regional and global trends. The major themes include the following: (I) a review of the diverse group of spore-producing amoeboid protists, including the myxomycetes; (II-IV) diversity assessments in three different groups of islands in the Philippine archipelago; (V) mapping the myxomycetes found in the Philippines for databasing and analyzing the geocoded data; (VI) a study on regional boundaries, including the Philippines, using myxomycete species composition; and, (VII) creating a global species distribution …

Go to article

Machine Learning & Big Data Analyses For Wildfire & Air Pollution Incorporating Gis & Google Earth Engine, Abdullah Al Saim Jul 2021

Machine Learning & Big Data Analyses For Wildfire & Air Pollution Incorporating Gis & Google Earth Engine, Abdullah Al Saim

Graduate Theses and Dissertations

The climatic condition, the vegetation type, and the landscape of the United States have made it susceptible to wildfires. This research is divided into two parts based on the analysis of two different aspects of wildfires of two distinct regions. The first part of the study investigates the wildfire susceptibility in Arkansas. Arkansas is a natural state, and it is heavily dependent on its forest and agricultural resources. During the last 30 years, more than 1,000 wildfires occurred in Arkansas and caused more than 10,000 acres of burned areas. Therefore, identifying wildfire-susceptible areas is crucial for ensuring sustainable forest and …

Go to article

Geolocation Of Monitoring Wells Using Small Unmanned Aircraft Systems, Joel Deyoung Jul 2021

Geolocation Of Monitoring Wells Using Small Unmanned Aircraft Systems, Joel Deyoung

Graduate Theses and Dissertations

Groundwater monitoring wells are commonly installed on a property as part of an environmental investigation to observe hydrological subsurface conditions, facilitate the collection of groundwater samples, and predict the flow of groundwater across a site. In addition to their installation, monitoring wells should be surveyed or mapped as accurately as possible. Traditional surveying techniques have employed the use of global navigation satellite systems (GNSS) technologies or other surveying equipment. A common surveying approach is to use real-time kinematic (RTK) GNSS to accurately measure the coordinates of each monitoring well on the site.In recent years, drones, or small unmanned aircraft systems …

Go to article

Geospatial Analysis Of Registered Sex Offenders: A Case Study From Pulaski County, Arkansas, Maggie Rose Bridges May 2021

Geospatial Analysis Of Registered Sex Offenders: A Case Study From Pulaski County, Arkansas, Maggie Rose Bridges

Graduate Theses and Dissertations

The objective of this case study was to analyze the spatial distribution patterns of the residences of registered sex offenders in Pulaski County, Arkansas to determine the impact of state enforced residence restrictions. Density and clustering factors were used to identify census tracts of the study area with high and low concentrations of offenders. These zones were then compared to identify which characteristics were similar and dissimilar between high and low concentration zones. The results indicate that there is a non-random distribution of registered sex offenders in the study area. The findings also indicate that the residence restrictions placed on …

Go to article

Sensing Population Distribution From Satellite Imagery Via Deep Learning:Model Selection, Neighboring Effects, And Systematic Biases, Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou Jan 2021

Sensing Population Distribution From Satellite Imagery Via Deep Learning:Model Selection, Neighboring Effects, And Systematic Biases, Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou

Geosciences Faculty Publications and Presentations

The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning approaches that enable latent features and hidden geographical patterns to be extracted. This article marks the first attempt to cross-compare performances of popular state-of-the-art deep learning models in estimating population distribution from remote sensing images, investigate the contribution of neighboring effect, and explore the potential systematic population estimation biases. We conduct an end-to-end training of four popular deep learning architectures, i.e., VGG, ResNet, Xception, and DenseNet, by establishing a mapping between Sentinel-2 image patches and …

Go to article

A Methodological Framework To Evaluate Community Perceptions Of Economic And Safety Impacts Attributed To Highway Bypass And Widening Projects, Karla Diaz-Corro Dec 2020

A Methodological Framework To Evaluate Community Perceptions Of Economic And Safety Impacts Attributed To Highway Bypass And Widening Projects, Karla Diaz-Corro

Graduate Theses and Dissertations

Transportation practitioners have proposed the construction of highway bypass and widening projects in rural communities to address traffic-related problems that include noise pollution and congestion, among others. In the past, the construction of bypass projects has led community residents to raise concerns about potential decreases in business activity for businesses located along the bypassed road. For transportation organizations, it is essential to understand the economic, social, and safety impacts of transportation projects in terms of public perceptions as public input is a required part of the project planning phase. Moreover, it is recommended that agencies perform retrospective analyses of project …

Go to article

Quantifying The Simultaneous Effect Of Socio-Economic Predictors And Build Environment On Spatial Crime Trends, Alfieri Daniel Ek Dec 2020

Quantifying The Simultaneous Effect Of Socio-Economic Predictors And Build Environment On Spatial Crime Trends, Alfieri Daniel Ek

Graduate Theses and Dissertations

Proper allocation of law enforcement agencies falls under the umbrella of risk terrainmodeling (Caplan et al., 2011, 2015; Drawve, 2016) that primarily focuses on crime prediction and prevention by spatially aggregating response and predictor variables of interest. Although mental health incidents demand resource allocation from law enforcement agencies and the city, relatively less emphasis has been placed on building spatial models for mental health incidents events. Analyzing spatial mental health events in Little Rock, AR over 2015 to 2018, we found evidence of spatial heterogeneity via Moran’s I statistic. A spatial modeling framework is then built using generalized linear models, …

Go to article

Remote Sensing And Gis Study Of Hazards And Risks In East Africa, Hafid Nanis Jul 2020

Remote Sensing And Gis Study Of Hazards And Risks In East Africa, Hafid Nanis

Graduate Theses and Dissertations

East Africa encompasses numerous developing countries and involves one of the most active continental rifts on Earth; namely, the East African Rift System. This region is prone to diverse geohazards due to its geographical location at the plate boundary. Several damaging events had happened across the region and more are predicted to occur in the near future. Therefore, it is crucial to investigate, assess, and forecast natural hazards and potential risks in the region. In this dissertation, remote sensing and Geographic Information System (GIS) were employed to conduct three independent studies focused on assessing geohazards in east Africa. Each study …

Go to article

Next Last